Table 6 Classification metrics comparison of the relevant classes between the US8K and US8K_AV datasets using fold 1 as validation set.

From: A dataset for environmental sound recognition in embedded systems for autonomous vehicles

 

US8K

US8K_AV

 

Model

Class

Prec.

Recall

F1-score

Prec.

Recall

F1-score

Suppt.

Imp.

Wtd.

SVM

car_horn

64%

88%

74%

81%

96%

88%

252

19%

9.58%

children_playing

58%

82%

68%

71%

81%

76%

700

12%

 

dog_bark

76%

78%

77%

85%

78%

81%

700

5%

 

siren

82%

65%

73%

85%

75%

79%

602

8%

 

LR

car_horn

67%

85%

75%

84%

86%

82%

252

9%

6.36%

children_playing

63%

80%

70%

73%

83%

78%

700

11%

 

dog_bark

85%

77%

81%

84%

79%

81%

700

0%

 

siren

82%

71%

76%

85%

77%

81%

602

7%

 

LR

car_horn

88%

76%

82%

89%

76%

82%

252

0%

16.61%

children_playing

54%

79%

64%

72%

85%

78%

700

22%

 

dog_bark

54%

81%

65%

85%

80%

82%

700

26%

 

siren

81%

78%

79%

91%

77%

84%

602

6%

 

ANN

car_horn

72%

92%

81%

84%

94%

89%

252

10%

15.55%

children_playing

66%

71%

68%

75%

82%

79%

700

16%

 

dog_bark

52%

81%

63%

70%

83%

76%

700

21%

 

siren

69%

74%

71%

89%

71%

79%

602

11%

 

CNN 1D

car_horn

68%

85%

76%

87%

90%

88%

252

16%

12.31%

children_playing

61%

71%

65%

71%

73%

72%

700

11%

 

dog_bark

56%

84%

67%

73%

81%

77%

700

15%

 

siren

76%

70%

73%

87%

74%

80%

602

10%

 

CNN 2D

car_horn

84%

75%

79%

80%

82%

83%

252

5%

8.86%

children_playing

64%

84%

73%

72%

87%

81%

700

11%

 

dog_bark

72%

79%

76%

91%

76%

83%

700

9%

 

siren

87%

73%

79%

87%

84%

85%

602

8%